Popular Articles

AWS Glue Features and Benefits

August 14th, 2024 By Neha Sharma in AWS, Data Strategy

In today’s competitive world, organizations are trying to fetch maximum value out of their data to stay ahead in the market. Designing robust data pipelines for efficient management and processing…

Fivetran Pricing Model Update: What’s Changing and How It Affects Users

April 23rd, 2025 By Rajashree Bhat in Platform, Product

Key Takeaways Per-Connector Pricing from March 2025: Fivetran transitioned to charging for monthly active rows (MAR) per connector, eliminating account-wide discounts and bulk-pricing benefits. Increased Complexity in Predicting Costs: The…

Luigi vs Airflow: Which is the Better Tool?

August 21st, 2024 By Chirag Agarwal in Data Strategy

When it comes to orchestrating workflows and managing data pipelines, Luigi and Airflow are two of the most popular tools in the industry. Both have their own unique strengths and…

Airflow vs Azure Data Factory: Guide to Choose the Right Tool

September 1st, 2024 By Arjun Narayan in Data Engineering

Managing and orchestrating data workflows efficiently is crucial in today's data-driven world. As the amount of data constantly increases with each passing day, so does the complexity of the pipelines…

How to Easily Migrate Your Data from NetSuite to Redshift?

March 29th, 2024 By Suraj Kumar Joshi in Data Integration, Redshift

Easily move your data from NetSuite To Redshift to enhance your analytics capabilities. With Hevo’s intuitive pipeline setup, data flows in real-time—check out our 1-minute demo below to see the…

Firebolt vs BigQuery: 6 Comprehensive Differences

May 3rd, 2024 By Radhika Sarraf in BigQuery, Data Warehousing, Versus

With the data growing at a very fast pace, the requirements to store and process data are also increasing. Businesses use Data Warehouses to store the data. Cloud Data Warehouses…

Getting Started with Snowflake Materialized Views

September 10th, 2024 By Suraj Poddar in Data Warehousing, Snowflake

In Snowflake, the views are crucial for organizing, selecting, and retrieving data while not copying the data itself. Instead, if performance is a concern—such as in querying large data sets—then…

Snowflake Substring: A Comprehensive Guide

May 31st, 2024 By Skand Agrawal in Data Warehousing, Snowflake

The snowflake substring function is a must-have in your arsenal. In this tutorial, you will learn how to use the Snowflake substring or substr function, the different arguments that can…

Fivetran vs Airflow: Choose The Right ETL or ELT Solution

April 23rd, 2025 By Rajashree Bhat in Platform, Product

Key Takeaways Choosing between Fivetran and Airflow for data integration depends on technical requirements, budget, and team capabilities. Below are the key differences to consider: Comparison Factor 1: Ease of…

Streamline Your Workflows With Oracle Data Integration

June 28th, 2024 By Dimple M K in Data Strategy

Data generated from various sources can make it challenging to integrate and leverage it to make sound, data-driven decisions efficiently. Oracle data integration, part of the broader Oracle Integration suite,…

Amazon Redshift Bulk Load: 2 Easy Methods

June 14th, 2024 By Talha in Data Warehousing, Redshift

Are you looking to perform Amazon Redshift bulk load? If yes, you are in the right place! Redshift is Amazon's fully managed, NoOps, low-cost analytics data warehouse in the cloud.…

The Ultimate Guide to Master the Snowflake Cost Optimization

May 31st, 2024 By Sarthak Bhardwaj in Data Warehousing, Snowflake

Snowflake is a widely used cloud-based data warehouse that efficiently stores and analyzes massive amounts of data. It facilitates high-performance data processing and is also cost-effective. However, when using any…

Presenting Hevo’s ELT Pipelines with Inflight Transformation

April 20th, 2024 By Team Hevo in Data Integration, ETL

The ELT process has modernized data pipelines, fastened your data loading speed, and facilitated efficient data analysis.  However, there is still a delay in the analysis and the time to…

What is a Modern Data Stack? – Everything You Need to Know 

September 6th, 2024 By Srujana Maddula in Data Engineering

Building an efficient data stack that can handle big data is no small feat, whether due to growing data demands or operational costs. A modern data stack solves these problems…

Fivetran vs AWS Glue: Compare Leading ETL Tools with Features and Pricing

April 23rd, 2025 By Kamlesh in Platform, Product

Key Takeaways Fivetran and AWS Glue are both powerful ETL tools, but they serve different purposes. While Fivetran offers an easy-to-use, fully managed solution with pre-built connectors, AWS Glue, is…

AWS DocumentDB to Snowflake Migration: 2 Easy Methods

May 31st, 2024 By Dimple M K in AWS, Data Integration, Snowflake

Easily move your data from AWS DocumentDB To Snowflake to enhance your analytics capabilities. With Hevo’s intuitive pipeline setup, data flows in real-time—check out our 1-minute demo below to see…

Jira to Redshift: 2 Speedy Ways to Migrate Your Data

March 29th, 2024 By Riya Bothra in Data Integration, Redshift

Easily move your data from Jira To Redshift to enhance your analytics capabilities. With Hevo’s intuitive pipeline setup, data flows in real-time—check out our 1-minute demo below to see the…

Best Snowflake Performance Tuning Tactics

June 20th, 2024 By Nitin Birajdar in Data Warehousing, Snowflake

In recent years, businesses worldwide have scaled up their Data Collection operations, leading to the term 'Big Data.' Today, companies collect information from various sources, including Business Transactions, Industrial Equipment,…

Fivetran vs Informatica: Comprehensive Comparison for 2025

April 23rd, 2025 By Rajashree Bhat in Data Strategy, Versus

Should your organization invest in the power and customization offered by Informatica, or embrace the simplicity and automation of Fivetran to accelerate your data journey? In today's world, where decisions…

Using Emerging Technologies to Address Data Lake Challenges

July 23rd, 2024 By Adedotun Adeboye in Data Engineering

The term “Data Lake” was first introduced by James Dixon in 2010 as a form of storage to cope with evolving data needs due to advancements in IT and IoT.…